Instructions to use fwwrsd/yhuu88-epoch4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fwwrsd/yhuu88-epoch4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Comfy-Org/z_image", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fwwrsd/yhuu88-epoch4") prompt = "yhuu88" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
yhuu88 โ Epoch 4/17
Identity LoRA checkpoint (epoch 4 of 17).
Trigger Word
Use yhuu88 in your prompt.
Download
https://huggingface.co/fwwrsd/yhuu88-epoch4/resolve/main/yhuu88_epoch4.safetensors
Training Details
| Parameter | Value |
|---|---|
| Base Model | Comfy-Org/z_image |
| Epoch | 4 / 17 |
| LoRA Rank | 32 |
| Learning Rate | 0.00005 |
| Resolution | 1024px |
| Training Images | 58 |
Trained with NanoBanana LoRA Bot on RunPod
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Model tree for fwwrsd/yhuu88-epoch4
Base model
Comfy-Org/z_image